Dezhi Han

Title: The Innovative Mind of Dezhi Han

Introduction

Dezhi Han is a notable inventor based in Shanghai, China. He has made significant contributions to the field of cloud computing through his innovative patent. His work focuses on enhancing the reliability and efficiency of virtual machines in cloud systems.

Latest Patents

Dezhi Han holds a patent for an "Anomaly detection method for the virtual machines in a cloud system." This method involves training a Hidden semi-Markov Model (HsMM) by analyzing the state information of normal virtual machines. The corresponding algorithm detects and calculates the probabilistic logarithm probability and the Mahalanobis distance of the dynamic behaviors of resources in the cloud system. If the Mahalanobis distance of an online virtual machine exceeds a preset threshold, it indicates that the virtual machine is operating anomalously.

Career Highlights

Dezhi Han is affiliated with Shanghai Maritime University, where he contributes to research and development in cloud computing technologies. His expertise in anomaly detection has positioned him as a valuable asset in the academic and technological community.

Collaborations

Dezhi Han has worked alongside colleagues such as Kun Bi and Haochen Han. Their collaborative efforts have further advanced research in the field of cloud systems and virtual machine management.

Conclusion

Dezhi Han's innovative approach to anomaly detection in cloud systems showcases his commitment to improving technology. His contributions are essential for enhancing the reliability of virtual machines, making him a significant figure in the realm of cloud computing.